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Blossom Sky - The Distributed Computing Platform Empowering Analytical Decisions Without Limits.

Distributed Data Processing Revolutionizes LLM, AI, ML and Analytics

Distributed Data Processing Revolutionizes LLM, AI, ML and Analytics

Distributed data processing is a powerful tool for leveraging the potential of big data analytics, artificial intelligence (AI), machine learning (ML), LLM, and analytics. By leveraging distributed computing, businesses can process large amounts of data faster and more efficiently than ever before.

Author:
Alexander Alten
Reduce data costs up to 35% with Blossom Sky

Reduce data costs up to 35% with Blossom Sky

Blossom Sky’s AI-Powered Platform Integration as a Service (PIaaS) unifies your current data stack into one powerful data mesh. This translates into two-digit cost savings in OpEx as well as CapEx.

Author:
Vatsal Sha
Benchmarking Blossom Sky

Benchmarking Blossom Sky

Blossom Sky was tested using the TPC-H benchmark and showed scalability and robustness when compared with Spark and Postgres for storing and querying relational data. Read more in our blogpost.

Author:
Dr. Zoi Kaoudi
Blossom Sky: The Ultimate Federated Learning Platform

Blossom Sky: The Ultimate Federated Learning Platform

Blossom Sky is an innovative platform that enables successful federated data processing and analysis. Learn how this ultimate data processing platform can improve your data analysis workflow and boost your business.

Author:
Alexander Alten
Decentralized Data Processing: The Future of Big Data Analytics

Decentralized Data Processing: The Future of Big Data Analytics

Decentralized data processing refers to the distribution of data processing tasks across a network of nodes, rather than relying on a single centralized system.

Author:
Dr. Kaustubh Beedkar
Federated Learning (Part I): Old Wine in a New Bottle?

Federated Learning (Part I): Old Wine in a New Bottle?

Machine learning (ML) is a subset of artificial intelligence (AI), where the focus is to allow systems to learn from historical data and make predictions.

Author:
Dr. Jorge Quiané
Federated Learning (Part II): The Blossom Framework

Federated Learning (Part II): The Blossom Framework

We dive into Databloom Blossom, a federated data lakehouse analytics framework that provides a solution for federated learning.

Author:
Dr. Jorge Quiané
Let's build a generative AI stack with Blossom Sky and Flower

Let's build a generative AI stack with Blossom Sky and Flower

Both Apache Wayang and Flower are well-known FL platforms with distinct use-cases. When these two components are combined, we have an OpenAI-like system with GPT3.

Author:
Alexander Alten
Regulation-Compliant Federated Data Processing

Regulation-Compliant Federated Data Processing

Federated data services are an indispensable component of the data systems market, due to a recent demand for decentralized data storage and computation.

Author:
Dr. Kaustubh Beedkar
Deep tech dive into Blossom Sky

Deep tech dive into Blossom Sky

We dive into Blossom Sky, Machine Learning and the future of AI. Jorge explains the idea behind Blossom Sky and why Apache Wayang is so important.

Author:
Dr. Jorge Quiané
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Databloom is a distributed data access and analytics company that developed "Blossom Sky," an AI-powered cross-platform data analytics platform. Blossom Sky enables distributed (federated) data processing, allowing AI models to run at the data source and removing complex data management processes.

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